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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 0-RES-JB
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    Explanations

    the name "Thomas" followed by numbers or other words

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Thomas" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    raq
    -0.85
    Grab
    -0.73
    ".[
    -0.70
    ."[
    -0.69
    .[
    -0.69
    )[
    -0.68
    ,[
    -0.67
     Kazakh
    -0.66
    [_
    -0.66
    )=(
    -0.65
    POSITIVE LOGITS
     Thomas
    3.35
    Thomas
    2.82
     Theodore
    1.42
     Alexander
    1.41
     Francois
    1.40
     Matth
    1.40
     James
    1.39
     Samuel
    1.39
     Christopher
    1.38
     Tom
    1.36
    Activations Density 0.016%

    No Known Activations